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- Aufgaben: Join our team as a Senior Biostatistician, focusing on innovative pre-clinical research and data analysis.
- Arbeitgeber: CSL Behring is a global leader in high-quality medicines for rare diseases.
- Mitarbeitervorteile: Enjoy perks like subsidized bike leasing, childcare services, gym access, and wellness days.
- Warum dieser Job: Make an impact in healthcare while collaborating with diverse teams and advancing statistical methodologies.
- GewĂĽnschte Qualifikationen: MSc in Statistics or related field, 3+ years experience, strong R programming skills required.
- Andere Informationen: Apply online with your CV, certifications, and salary expectations.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
For our Research department in Marburg, we are looking for a
Senior Biostatistician (m/f/x)
R-247809
Fulltime / permanent / tariff
The Opportunity
We have an opportunity available for a Senior Research Statistician to join our Research Data Science team. You will provide scientific expertise in the area of biostatistics for a broad array of applications in pre-clinical research, focusing on the design, conduct and analysis of in vivo, in vitro and observational studies with research aims including indication selection, drug design and lead candidate selection, assay development and validation, mechanism of action, establishment of animal models, efficacy and safety, and comparison of in-house and competitor drug candidates.
You will work closely with the Global Research Data Science group members and other CSL colleagues to set and deliver on project objectives and to determine appropriate data generation, processing, and analysis strategies. You will also work alongside CSL’s external collaborators to make recommendations on study design, execution and data analysis.
The Role
- Oversee and provide support in statistical methodology for experimental design, data analysis, interpretation of results, report generation and other documentation for pre-clinical aims and studies
- Review statistical planning and methodology of research proposals from external collaborators
- Develop statistical pipelines tailored to specific aims including apps for recurring analyses designed for non-statistician users
- Contribute to innovation in statistical methodology applied to pre-clinical research by actively exploring and implementing new methods
- Encourage the implementation and use of best practice guidelines (e.g. ARRIVE, RIPOSTE, STROBE and internal guidelines) on the design, data analysis and reporting of in vivo, in vitro and non-interventional studies
- Conduct statistical training through documentation, presentations and working closely with scientific groups for CSL R&D staff to raise awareness of statistical aspects and regulatory requirements in R&D
- Contribute to establishment and maintenance of Data Science resources on-site
Your Skills and Experience:
- MSc in Statistics, Biostatistics, Mathematics or similar field (PhD is a plus)
- 3 + years relevant expertise in academic or industrial environment
- Record of quality scientific output in collaboration with life scientists demonstrated by presentation and publication of scientific work or actual project work experience
- Strong programming skills in R and RShiny
- Advanced computer skills in high-level programming languages, and experience working with both open-source and commercial statistical software. Knowledge of, and experience in biology will also be advantageous.
What we offer
- Innovative work-environment at our R&D campus
- CSL-subsidized company bike leasing
- Childcare “Kita Froschkönig” for up to 14 children (from 6 months till 3 years old)
- Access to Gym facility on campus
- up to 2 Wellness days per year (additional paid time off)
- Family services such as psychological support, legal advisory, family care services and more for you and your direct family
For more information, please check out our global benefits below.
We are looking forward to your application. Please ensure to apply online with your CV and certifications as well as your salary expectation.
Our Benefits
We encourage you to make your well-being a priority. It’s important and so are you. Learn more about how we care at CSL.
About CSL Behring
CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring.
We want CSL to reflect the world around us
As a global organisation with employees in 35+ countries, CSL embraces diversity and inclusion. Learn more about Diversity & Inclusion at CSL.
Do work that matters at CSL Behring!
CSL Behring | Senior Biostatistician (m/f/x) Arbeitgeber: CSL Behring
Kontaktperson:
CSL Behring HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: CSL Behring | Senior Biostatistician (m/f/x)
✨Tip Number 1
Make sure to familiarize yourself with the latest statistical methodologies relevant to pre-clinical research. Being able to discuss recent advancements and how they can be applied in your work will show your expertise and enthusiasm for the role.
✨Tip Number 2
Network with professionals in the biostatistics field, especially those who have experience in drug design and development. Engaging with them can provide insights into the industry and may lead to valuable connections that could help you during the application process.
✨Tip Number 3
Prepare to discuss your programming skills in R and RShiny during the interview. Be ready to share specific examples of projects where you've utilized these skills effectively, as this is a key requirement for the position.
✨Tip Number 4
Research CSL Behring's current projects and initiatives in the field of biostatistics. Understanding their focus areas and challenges will allow you to tailor your discussions and demonstrate how your background aligns with their goals.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: CSL Behring | Senior Biostatistician (m/f/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Biostatistician position. Understand the key responsibilities and required skills, especially in biostatistics and programming with R.
Tailor Your CV: Customize your CV to highlight relevant experience in biostatistics, statistical methodology, and any specific projects that align with the role's requirements. Emphasize your programming skills in R and RShiny.
Craft a Strong Cover Letter: Write a cover letter that connects your background and expertise to the specific needs of CSL Behring. Mention your experience in pre-clinical research and how you can contribute to their research data science team.
Prepare for Potential Questions: Think about potential interview questions related to statistical methodologies, your experience with data analysis, and how you would approach specific research problems. Be ready to discuss your past projects and their outcomes.
Wie du dich auf ein Vorstellungsgespräch bei CSL Behring vorbereitest
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical methodologies, particularly in the context of pre-clinical research. Highlight specific projects where you applied biostatistics to design studies or analyze data.
✨Demonstrate Programming Skills
Since strong programming skills in R and RShiny are essential, be ready to provide examples of how you've used these tools in past projects. If possible, share any applications or pipelines you've developed.
✨Familiarize Yourself with Best Practices
Understand the best practice guidelines mentioned in the job description, such as ARRIVE and STROBE. Be prepared to discuss how you have implemented these guidelines in your previous work.
✨Prepare for Collaborative Scenarios
As the role involves working closely with both internal teams and external collaborators, think of examples that demonstrate your ability to communicate effectively and contribute to team objectives in a collaborative environment.
